SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9676–9700 of 10420 papers

TitleStatusHype
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGACode0
AOGNets: Compositional Grammatical Architectures for Deep LearningCode0
Reduced storage direct tensor ring decomposition for convolutional neural networks compressionCode0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Understanding and Robustifying Differentiable Architecture SearchCode0
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating FunctionCode0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
NLNL: Negative Learning for Noisy LabelsCode0
Reducing Overlearning through Disentangled Representations by Suppressing Unknown TasksCode0
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?Code0
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer LearningCode0
Learning Discriminative Stein Kernel for SPD Matrices and Its ApplicationsCode0
Beyond Uniform Query Distribution: Key-Driven Grouped Query AttentionCode0
Learning Disentangled Representations via Mutual Information EstimationCode0
Noise Adaption Network for Morse Code Image ClassificationCode0
DeepCorrect: Correcting DNN models against Image DistortionsCode0
Learning Efficient Detector with Semi-supervised Adaptive DistillationCode0
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing DiffusionCode0
An Inertial Newton Algorithm for Deep LearningCode0
Deep Generalized Convolutional Sum-Product NetworksCode0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit ClassificationCode0
Deep convolutional neural networks for pedestrian detectionCode0
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization ApproachCode0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified